Typical microservices outbox pattern implementation requires developers to manually create the outbox event table and write the codes to send the data from the outbox table to the respective messaging platform. Debezium Outbox Event Router together with Outbox Quarkus Extension take cares of this and enforce a standard approach to do this with declarative implementation. This allows the developers to focus on business logic implementation and achieve faster application delivery.
When come to performance load testing tool, people usually think of Apache JMeter; open source, widely supported and free. JMeter with total control, flexibility and user friendliness make the perfect choice for load testing. This should be the same for load testing Apache Kafka on container platform such as OpenShift Container Platform. Let's look at how we can use JMeter to perform Kafka load testing on OpenShift.
These open source tools are used by Red Hat to help their customers in digital transformation journey making the application modernization more achievable and easier compared to the past, with higher success rate.
Application modernisation is not just about the applications but also need to consider the impact of the modernising exercise to the existing internal costing and budgeting model (if any), governance processes & policies (or SDLC), the supporting services, the operation and application team, and the underlying application platform.
We all know Serverless, Function and Knative are meant to provide modern application platform for consumption based, faster start-up, lightweight, cost effective, event based, modular and etc. But how do they relates to each other and how they are different from each other. What do I need to know in order to help me to craft or choose the right solution for my organization needs.
Let's look at step by step how to enable resource monitroing on OpenShift. Container application resources monitoring is simplified with Operator Hub, Prometheus Operator and OpenShift. With the built-in resource monitoring on OpenShift, your application team will just need to focus on application development and at the same being able to get performance feedback from Prometheus on OpenShift.
Creating your own version of container image for Kafka Connect for OpenShift is pretty straightforward with simple few steps as outlined in this article.
Let us walk through how we failed to build the Jenkins JNPL Slave container for GraalVM with Docker and GraalVM with Podman.
In the journey of Quarkus project implementation you will need to consider what is the CI/CD process. The very first come into the picture is how to implement the CI part. We need the Jenkins JNLP slave container for GraalVM to build the Quarkus native runnable
Many people have done continuous integration and continuous delivery (CI/CD) for .NET Core, but they still may wonder how to implement this process in Red Hat OpenShift Container Platform (OCP). The information is out there, but it has not been structurally documented. In this article, we'll walk through the process.
